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09/08/2023
Create Your World: Lifelong Text-to-Image Diffusion
Text-to-image generative models can produce diverse high-quality images ...
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08/24/2023
I3DOD: Towards Incremental 3D Object Detection via Prompting
3D object detection has achieved significant performance in many fields,...
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08/07/2023
Heterogeneous Forgetting Compensation for Class-Incremental Learning
Class-incremental learning (CIL) has achieved remarkable successes in le...
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07/20/2023
Self-paced Weight Consolidation for Continual Learning
Continual learning algorithms which keep the parameters of new tasks clo...
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07/20/2023
Gradient-Semantic Compensation for Incremental Semantic Segmentation
Incremental semantic segmentation aims to continually learn the segmenta...
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02/20/2023
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation
3D object recognition has successfully become an appealing research topi...
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02/02/2023
No One Left Behind: Real-World Federated Class-Incremental Learning
Federated learning (FL) is a hot collaborative training framework via ag...
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03/22/2022
Federated Class-Incremental Learning
Federated learning (FL) has attracted growing attention via data-private...
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12/16/2020
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
3D object classification has attracted appealing attentions in academic ...
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12/08/2020
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation
Weakly-supervised learning has attracted growing research attention on m...
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08/24/2020
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Unsupervised domain adaptation without consuming annotation process for ...
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06/27/2020
Evolving Metric Learning for Incremental and Decremental Features
Online metric learning has been widely exploited for large-scale data cl...
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04/24/2020
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation
Unsupervised domain adaptation has attracted growing research attention ...
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04/19/2020
Data Poisoning Attacks on Federated Machine Learning
Federated machine learning which enables resource constrained node devic...
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12/12/2019
L3DOR: Lifelong 3D Object Recognition
3D object recognition has been widely-applied. However, most state-of-th...
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11/27/2019
Lifelong Spectral Clustering
In the past decades, spectral clustering (SC) has become one of the most...
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11/21/2019
Visual Tactile Fusion Object Clustering
Object clustering, aiming at grouping similar objects into one cluster w...
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08/21/2019
Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation
Weakly-supervised learning under image-level labels supervision has been...
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03/06/2019
Representative Task Self-selection for Flexible Clustered Lifelong Learning
Consider the lifelong learning paradigm whose objective is to learn a se...
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05/03/2017